Talk given by Prof. Shahar Kvatinsky Today’s AI applications demand tremendous computing power. However, existing hardware for AI is hitting a bottleneck in terms of speed and power. This is particularly because of the data movement required due to the separation of computing and memory in the von Neumann architecture and the large energy consumption, … Continue reading FENS Blog: On-Device Machine Learning with Memristors in the Neuromorphic Era